Behavior Analysis Of Farmers Production Decision-making In Main Mung Bean-producing Areas

Baicheng of Jilin province,renowned as “city of mung bean",is one of the advantage areas of mung bean production in China.Mung bean has been cultivating in Baicheng since the early 1950 s,and planting area increases gradually since 1980 s,so that Baicheng became the main production base of raw materials production and export of mung bean.As the development of mung bean production,farmers' behaviors of mung bean production are increasingly affected by natural disasters,the decline of mung bean varieties,as well as the price of mung bean.Given the fact that mung bean production is an important resource of local farmers' income,the study of farmers' decision-making behavior of mung bean production in Baicheng will make much sense in targeting the right direction of regional agriculture structure adjustment,formulating relevant agricultural industrial policies,and increasing farmers' income.Based on data from rural household survey in Baicheng lasting five years with total 1094 samples,the following findings are obtained by using an optimal programming model and an econometrics model:The percentage of mung bean cultivation accounting for actual area has gradually decreased since2013.Sample farmers averagely have 52 mu of contracted arable land per household,but they actually use 94 mu of arable land,which means the farmers averagely rent 42 mu per household.Mung bean planting area accounts for 41.6% of total arable area.In recent five years,there are not much changes in family labor force and education level of family members.Price is the important factor that affects farmers' decision-making behavior of mung bean production.In this study,we use HP and BP to analyze long-term trend and short-term trend of mung bean price fluctuations respectively,and find that long-term trend goes upward and short-term trend fluctuates with high frequency and large amplitude.In econometrics model,we select labor,education level of labor,ratio of mung bean price to corn price,and material input into mung bean production as independent variables,mung bean planting area as the dependent variable.We get that: 1.The number of labors per household increases by one,and mung bean area will decrease 0.24%.2.Labor's education level increase one unit,sown area of mung bean area will increase 0.14%.3.The faster growth of mung bean price comparing to corn price will stimulate farmers' higher willingness in mung bean production.4.Material input into mung bean production increases 1%,mung bean sown area will increase 0.76%.Policy implication of this study lies in two aspects.In regard of government,more attention should be paid to: 1.Stabilize the market price of mung bean;2.Strengthen technical training for farmers and to improve the quality of labor;3.Improve the production cost control mechanism;4.Strengthen the construction of science and technology services.In regard of farmers,they should: 1.More actively participate training of agricultural sciences and technology in order improve their farming skills;.2.Pay more attention to mung bean market in order to make rational decisions.